Sebastian Raschka, author of the bestselling book, Python Machine Learning, has many years of experience with coding in Python, and he has given several seminars on the practical applications of data science, machine learning, and deep learning, including a machine learning tutorial at SciPy - the leading conference for scientific computing in Python. While Sebastian's academic research projects are mainly centered around problem-solving in computational biology, he loves to write and talk about data science, machine learning, and Python in general, and he is motivated to help people develop data-driven solutions without necessarily requiring a machine learning background. His work and contributions have recently been recognized by the departmental outstanding graduate student award 2016-2017, as well as the ACM Computing Reviews' Best of 2016 award. In his free time, Sebastian loves to contribute to open source projects, and the methods that he has implemented are now successfully used in machine learning competitions, such as Kaggle. Vahid Mirjalili obtained his PhD in mechanical engineering working on novel methods for large-scale, computational simulations of molecular structures.
I'm a little embarrassed to admit this, but I've been seeing a virtual therapist. It's called Woebot, and it's a Facebook chatbot developed by Stanford University researchers that offers interactive cognitive behavioral therapy. And Andrew Ng, a prominent figure who previously led efforts to develop and apply the latest AI technologies at Google and Baidu, is now lending his backing to the project by joining the board of directors of the company offering its services. "If you look at the societal need, as well as the ability of AI to help, I think that digital mental-health care checks all the boxes," Ng says. "If we can take a little bit of the insight and empathy [of a real therapist] and deliver that, at scale, in a chatbot, we could help millions of people."
In 1868, the fledgling Massachusetts Institute of Technology on Boylston Street awarded its first diplomas to 14 graduates. Since then, it has issued paper credentials to more than 207,000 undergraduate and graduate students in much the same way. But this summer, as part of a pilot program, a cohort of 111 graduates became the first to have the option to receive their diplomas on their smartphones via an app, in addition to the traditional format. The pilot resulted from a partnership between the MIT Registrar's Office and Learning Machine, a Cambridge, Massachusetts-based software development company. The app is called Blockcerts Wallet, and it enables students to quickly and easily get a verifiable, tamper-proof version of their diploma that they can share with employers, schools, family, and friends.
His interest area lies in Machine Learning, Deep Learning, Computer Vision, Computational Neuroscience. His interest area includes artificial intelligence, natural language processing, machine learning etc. Her research areas include Artificial Intelligence and Machine Learning, General Science and Algorithms & Theory. His interest areas lies in Big Data, Machine Learning, Hadoop, Data Mining.
For learners and teachers: To name a few, AI powered systems are capable of complementing in-class teaching, creating customized content, providing personalized, supplemental guidance to students, assisting teachers through intelligent moderation, improving course quality, providing intelligent tutoring systems to support the learners. For the institutions, AI resolves the short staffing issues, increases the enrollment rates by answering students' queries deftly, assists with student retention by identifying and providing necessary help to at-risk students. Artificial intelligence uses data mining techniques to identify critical patterns which can better a learner's, teacher's or the institution's staff's experience. It empowers the institutions' staff to improve student services, in turn, increasing enrollment and retention.
Mike Salem from Udacity's Robotics Nanodegree is hosting a series of interviews with professional roboticists as part of their free online material. This week we're featuring Mike's interview with Felipe Chavez, Co-Founder and CEO of Kiwi. Kiwi is a mobile robot company delivering food to hungry college students across University of California, Berkeley's campus. Listen to Felipe explain some of the challenges Kiwi faces when deploying their robots.
Sebastian Raschka, author of the bestselling book, Python Machine Learning, has many years of experience with coding in Python, and he has given several seminars on the practical applications of data science, machine learning, and deep learning, including a machine learning tutorial at SciPy - the leading conference for scientific computing in Python. While Sebastian's academic research projects are mainly centered around problem-solving in computational biology, he loves to write and talk about data science, machine learning, and Python in general, and he is motivated to help people develop data-driven solutions without necessarily requiring a machine learning background. Currently, he is focusing his research efforts on applications of machine learning in various computer vision projects at the Department of Computer Science and Engineering at Michigan State University. While Vahid's broad research interests focus on deep learning and computer vision applications, he is especially interested in leveraging deep learning techniques to extend privacy in biometric data such as face images so that information is not revealed beyond what users intend to reveal.
The company, which employs 1,800 people in Canada, is announcing Tuesday it will open a lab in Montreal early next year in collaboration with the Montreal Institute for Learning Algorithms (MILA), with plans to hire 50 AI scientists by mid-2019. Thales is the fourth foreign giant since August to announce a new AI lab in Montreal, home to Yoshua Bengio, a pioneering AI academic with University of Montreal and a driving force behind the development of the city's AI-focused institutions, including MILA and the Institute of Data Valorization (IVADO). Last month, Facebook hired renowned McGill University professor Joelle Pineau to head its lab in the city, and her colleague Doina Precup was hired to lead a Montreal lab for DeepMind Technologies Ltd, the British AI company owned by Google parent Alphabet Inc. Samsung Electronics' Advanced Institute of Technology opened an AI lab at the University of Montreal in August. Mr. Bengio said while the recent moves by multinationals to open AI labs in Montreal helps to bolster the reputation of the city and Canada as a global AI hub, "the negative is that I don't think that it is by these companies that Canada will emerge as a world leader in AI.
"In this book, aimed at senior undergraduates or beginning graduate students, Bishop provides an authoritative presentation of many of the statistical techniques that have come to be considered part of'pattern recognition' or'machine learning'. "Bishop (Microsoft Research, UK) has prepared a marvelous book that provides a comprehensive, 700-page introduction to the fields of pattern recognition and machine learning. "Author aims this text at advanced undergraduates, beginning graduate students, and researchers new to machine learning and pattern recognition. "This accessible monograph seeks to provide a comprehensive introduction to the fields of pattern recognition and machine learning.
AT&T, Clarifai, and IBM, as well as UC Berkeley, are creating intuitive ways for people with big ideas to start building AI tools without big expertise. "You don't have to know about neural networks or machine learning or anything like that. Using Custom Training, Architizer taught a system to recognize such concepts as "facade system," "Brutalist," and "living wall" so its users could search a concept and see corresponding photos. Watson Analytics allows business users to upload data, such as spreadsheets of sales figures, and kick off an AI analytic process.